Plotly

Plotly is a versatile Python library for creating interactive data visualizations. One of the most commonly used visualization types is the scatter plot, which allows you to visualize the relationship between two numerical variables. We’ll explore how to create interactive scatter plots using Plotly in Python, enabling you to explore and analyze your data with Continue reading

Plotly is a powerful Python library for creating interactive data visualizations. One of the fundamental visualization types is the histogram, which is used to represent the distribution of a dataset. We’ll explore how to create histograms using Plotly in Python, allowing you to visualize data distributions with ease.

Before beginning the creation of bar charts, verify that the Plotly library is installed in your Python environment. This can be accomplished by running pip install plotly in your terminal or command prompt, thereby enabling access to advanced visualization capabilities.

When working with Plotly, a “trace” is a fundamental component that represents a set of data points and how they should be displayed on a chart. We’ll explore how to add traces to Plotly charts in Python, enabling you to create complex and interactive visualizations.

Plotly offers extensive customization options for your plots, including adjusting the title font size. This guide demonstrates two methods to achieve this: using the layout argument and the update_layout method.

One of the features of Plotly is that it allows you to customize the appearance of your charts, including the title. We will show you how to create a title with multiple lines in Plotly, using different methods and options.

In Plotly, you can center the title of a plot by setting the title.x attribute to 0.5 and the title.xref attribute to “paper”. Here’s an example of how you can center the title of a plot in Plotly:

In Plotly, you can add a vertical line to a plot by using the “shape” attribute in the layout. Here’s a simple example in Python: